Welcome to the Lareau lab. Our research uses computational methods and high-throughput experiments to understand how post-transcriptional processes lead to robust and flexible control of gene expression.
Liana Lareau is an assistant professor in the Department of Bioengineering at the University of California, Berkeley. We are part of the Innovative Genomics Institute, where our wet and dry lab space is housed. Our graduate students come from several PhD programs, and interested students are encouraged to apply through the Berkeley/UCSF Graduate Program in Bioengineering, the Computational Biology PhD Program, or the Department of Molecular and Cell Biology. Those interested in postdoctoral positions should email lareau@berkeley.edu with a cv and a brief description of research interests; wet lab applicants are especially encouraged.
news
[2/2022] Our collaborative work to develop riboviz 2, a user-friendly tool for ribo-seq analysis, was published in Bioinformatics: riboviz 2: A flexible and robust ribosome profiling data analysis and visualization workflow. Graduate student Amanda Mok and undergrad lab alum Vikram Shivakumar contributed to this team effort with Edward Wallace's lab at the University of Edinburgh and Premal Shah's lab at Rutgers.
[1/2022] Liana Lareau selected as a Chan Zuckerberg Biohub investigator.
[7/2021] Preprint posted: Meet Psix, our new method for finding alternative splicing changes, and their co-regulation, in single cell data! Fantastic work from Carlos Buen Abad Najar, working jointly with Liana Lareau and Nir Yosef, and with contributions from grad student Prakruthi Burra.
[7/2021] Liana Lareau named as a Rose Hills Innovator for work on mRNA design.
[6/2021] Welcome to new graduate students Prakruthi Burra (Comp Bio) and Carmelle Catamura (Comp Bio), and congratulations to Eli Lyons who will continue in the lab as a new MCB graduate student in the fall!
[5/2021] Congratulations to Dr. Carlos Buen Abad Najar, new PhD graduate of the lab! Carlos is heading on to a postdoc at the University of Chicago where he'll continue his computational studies of alternative splicing.
[4/2021] Our SARS-CoV-2 sequencing team contributed to analysis of a virus variant just published in Cell: Transmission, infectivity, and neutralization of a spike L452R SARS-CoV-2 variant.
[6/2020] Our work on scRNA-seq distortions of splicing is out in eLife: Coverage-dependent bias creates the appearance of binary splicing in single cells. Single-cell RNA-seq led to a surprising model of alternative splicing: individual cells make one isoform or the other, but rarely both in one cell. Graduate student Carlos Buen Abad Najar, working with Nir Yosef and Liana Lareau, shows that this is an artifact of low mRNA recovery.
contact: